%0 Journal Article %1 noauthororeditor %A Vishnuprasad, Benazir Begum A | Sreeyuktha R | Haritha M P | %D 2021 %J International Journal of Trend in Scientific Research and Development %K Detection Face LBPH Recognition Viola-Jones %N 3 %P 364-368 %T Face Recognition Based Attendance System using Machine Learning %U https://www.ijtsrd.com/engineering/computer-engineering/39856/face-recognition-based-attendance-system-using-machine-learning/benazir-begum-a %V 5 %X In the era of modern technologies emerging at rapid pace there is no reason why a crucial event in education sector such as attendance should be done in the old boring traditional way. Attendance monitoring system will save a lot of time and energy for the both parties teaching staff as well as the students. Attendance will be monitored by the face recognition algorithm by recognizing only the face of the students from the rest of the objects and then marking the students as present. The system will be pre feed with the images of all the students enrolled in the class and with the help of this pre feed data the algorithm will detect the students who are present and match the features with the already saved images of the students in the database. Benazir Begum A | Sreeyuktha R | Haritha M P | Vishnuprasad "Face Recognition Based Attendance System using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39856.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/39856/face-recognition-based-attendance-system-using-machine-learning/benazir-begum-a

@article{noauthororeditor, abstract = {In the era of modern technologies emerging at rapid pace there is no reason why a crucial event in education sector such as attendance should be done in the old boring traditional way. Attendance monitoring system will save a lot of time and energy for the both parties teaching staff as well as the students. Attendance will be monitored by the face recognition algorithm by recognizing only the face of the students from the rest of the objects and then marking the students as present. The system will be pre feed with the images of all the students enrolled in the class and with the help of this pre feed data the algorithm will detect the students who are present and match the features with the already saved images of the students in the database. Benazir Begum A | Sreeyuktha R | Haritha M P | Vishnuprasad "Face Recognition Based Attendance System using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39856.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/39856/face-recognition-based-attendance-system-using-machine-learning/benazir-begum-a }, added-at = {2021-06-05T09:11:13.000+0200}, author = {Vishnuprasad, Benazir Begum A | Sreeyuktha R | Haritha M P |}, biburl = {https://www.bibsonomy.org/bibtex/215ab979c7f73108d72fd495d1b8ff048/ijtsrd}, interhash = {70a90e9b9af945c6e719c2bcd6573ce5}, intrahash = {15ab979c7f73108d72fd495d1b8ff048}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Detection Face LBPH Recognition Viola-Jones}, language = {English}, month = {April}, number = 3, pages = {364-368}, timestamp = {2021-06-05T09:11:13.000+0200}, title = {Face Recognition Based Attendance System using Machine Learning }, url = {https://www.ijtsrd.com/engineering/computer-engineering/39856/face-recognition-based-attendance-system-using-machine-learning/benazir-begum-a}, volume = 5, year = 2021 }